Robust RBFN Control for Linear InductionMotor Drive Using FPGA

A field-programmable gate array (FPGA) based robust radial basis function network (RBFN) control system is proposed to control the mover position of a linear induction motor (LIM). First, the indirect field-oriented mechanism is adopted for the control of LIM. Next, an equivalent control law bases on sliding-mode control is designed, in which the uncertainties are lumped by a conservative constant. However, the lumped uncertainty is unknown and difficult to obtain in advance in practical applications. Therefore, a RBFN is derived to approximate the equivalent control law in real-time, and a robust RBFN control system with online training ability is resulted. Then, a FPGA chip is adopted to implement the indirect field-oriented mechanism and the developed control algorithms for possible low-cost and high-performance industrial applications. The effectiveness of the proposed control scheme is verified by some simulated and experimental results. With the robust RBFN control system, the mover position of the FPGA-based LIM drive possesses the advantages of good transient control performance and robustness to uncertainties in the tracking of periodic reference trajectories.